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Record W2476502523 · doi:10.1075/lald.56.16far

A faithfulness conspiracy

2014· book-chapter· en· W2476502523 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLanguage acquisition & language disorders · 2014
Typebook-chapter
Languageen
FieldPsychology
TopicPhonetics and Phonology Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSelection (genetic algorithm)GrammarComputer scienceLinguisticsMathematicsNatural language processingArtificial intelligencePhilosophy

Abstract

fetched live from OpenAlex

Children frequently reduce marked target structures to unmarked outputs. However, multiple reduction strategies are often available, and pinpointing a principle that unifies them can be difficult. This paper examines several markedness-reducing processes in Amahl’s developing phonology (Smith 1973), showing that seemingly unrelated repairs actually had a coherent objective: to avoid the accumulation of multiple repairs. This finding is significant on two levels: first, the pattern challenges analyses that rely on ranked constraints, in which violations cannot accumulate across constraints; second, it appears that multiple phonological processes (unfaithful by definition) conspire to preserve faithfulness. This pattern is defined as a faithfulness conspiracy , and the concept is fleshed out with other examples from Amahl’s development as well as cases from fully-developed languages.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.760
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0840.008

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.303
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it